similar to: failed to load MASS at start up

I'm using R 1.7.0 on Windows 2000. I'm a long-time user of R, but am experiencing frustration because I can't figure out how to view the function definition of a non-exported method. (I know I can go view the source code or the code in the library directory but I am trying to view the function inside the R environment. In particular, library(mva) biplot.princomp Error: Oject

This happened to me with R-1.7.0, Linux RH9: ------------------------------------------------------------------ > q() Save workspace image? [y/n/c]: y Warning messages: 1: namespaces may not be available when loading 2: names in persistent strings are currently ignored gb at lasker:~/R/test$ R R : Copyright 2003, The R Development Core Team Version 1.7.0 (2003-04-16) R is free software

[was sent a wrong R-help address; manually resent by MM] Hello I'am using the 'biplot' and 'biplot.pincomp' functions of the 'mva' package for my studies. The biplot represents both the observations and the variables of a matrix of multivariate data on the same plot. The observations are represented by their numbers (the line of the data matrix), but I would need to

I have istalled R with the rpm package available for RedHat 9.0. My machine is a pentium4. This is my .Rprofile file ( placed in my home directory ): w <- function ( x, y ) write.table ( t ( x ), file = y, quote = F, col.names = F, row.names = F, sep = ',' ) q <- function () q ( save = 'no' ) library( stepfun ) library ( MASS ) The MASS library is not loaded when R is

Returning after the long weekend, I get the following: aperrin at perrin:~/afshome/papers/microcultures/R$ R R : Copyright 2003, The R Development Core Team Version 1.7.0 (2003-04-16) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type `license()' or `licence()' for distribution details. R is a collaborative

Hello, I am new to R and I have a question about the difference between correspondence analysis in R and SPSS. This is the input table I am working with (4 products and 18 attributes): > mytable 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 1 15 11 20 4 14 7 1 2 1 4 12 12 17 19 11 20 9 10 2 19 18 14 14 16 4 14 11 11 15 22 19 22 16 21 19 15 16 3 16 13 10 9 15 4 10 7 11 13 18

Dear list, I want to perform a biplot, using customized titels for the x and y axis. Setting xlab="" and ylab="" resulted in an error, e.g.: > data(USArrests) > biplot(princomp(USArrests),xlab="",ylab="") Error in biplot.default(t(t(scores[, choices])/lam), t(t(x$loadings[, : length of dimnames[1] not equal to array extent > How do I

As of R 1.7.0, princomp no longer accept matrices with more coloumns than rows. I'm curious: Why was this decision made? I work a lot with data where more coloumns than rows is more of a rule than an exception (for instance spectroscopic data). To me, princomp have two advantages above prcomp: 1) It has a predict method, and 2) it has a biplot method. A biplot method shouldn't be too

I want to plot biplots. I have seen the function biplot, but there are some extra features I would like, that I do not know how to achieve. 1. My observations, and my variables, fall into groups. Is there a way to, say, plot the observations in several different colours, according to which group the observation falls into? Similarly with the variables? I am used to the lattice idiom, in which one

Hi! If I do: plot(corresp(a, nf = 2),xlim=c(-1,2),ylim=c(-1,1)) while the xlim takes effect, the ylim does not, no matter the values given for ylim. Is this intentional? is this an error? (I think this might be related with line 41 in biplot.default in mva) (using R 1.6.2 on a linux (suse 7.3) box.) Thanks Agus Dr. Agustin Lobo Instituto de Ciencias de la Tierra (CSIC) Lluis Sole Sabaris

Dear R users, I m quite a novice in using R for factor analysis and I would need some help to choose the right function. I have a contingency table and I would like to perform a Correspondence analysis on this table, followed by a hirarchical clustering of my variables projected in on the first principal components. Here are my question : - what is the more appropriate function to do so ...

hi, My code: data<-matrix(data=c(0.425,0.5,0.75,0.125,0.25,0.475,0.375,0.25,0.625,0.5,0.1,0.125,0,0.25,0.25),nrow=3,ncol=5,byrow=TRUE, dimnames=list(c("Good","Medium","Bad"),c("Content","Logistic","Trainer","Supply","User contribution"))) plot(corresp(data,nf=2),xlim=c(-1,1),ylim=c(-1,1)); The plot is

With the same system configuration (WinNT4 SP6 and 1.7.0), I get such a Dr Watson crash each time I try to use the Change dir... command in the File menu of Rgui.exe. I doesn't seems to happen if I do this immediately after starting R but well if I already did some computation. I don't have any problem by using directly setwd(). At 12:10 23/04/03, you wrote: >Date: Tue, 22 Apr 2003

Full_Name: Aimee Teo Broman Version: 1.7.0 OS: Windows XP vers5.1 Submission from: (NULL) (162.129.145.77) My .First() function contains the command library(MASS) -- when I open R 1.7.0, I get this error: Error in get(x, envir, mode, inherits) : variable "biplot" was not found Error in library(MASS) : package/namespace load failed If I run library(MASS) outside of the .First()

I'm attempting to modify how biplot draws its red vectors (among other things). This is how I've started: Biplot <- function(xx, comps = c(1, 2), cex = c(.6, .4)) { ## Purpose: Makes a biplot with princomp() object to not show arrows ## ---------------------------------------------------------------------- ## Arguments: xx is an object made using princomp() ##

Peter, As I understand your Q. You probably have data that is similar to each other like stock Prices for all RHS variable. In that case the difference between corr and cov is not significant; however, if your RHS contains totally dissimilar variables it matters a great deal. If x1 income, x2 job type, x3 Education level, etc..., then taking cov of these variables would not be desireable

Hello, Something incredible (at least for me) has happen. Yesterday night I downloaded biplot.R to edit this function and add new features I wished. Namely I wanted to plot points belonging to different groups using different colors and symbols. I identified which part of the original code I had to modify. Then, I rename biplot by biplotes and executing biplotes(x), being x a princomp class

I'm trying to track down a rather critical problem. This happens both on Debian's current unstable as well a from anoncvs built this morning, reinstalling MASS. Is anyone else seeing this or am I just broken and special? 609$ /home/Rdevel/bin/R R : Copyright 2004, The R Foundation for Statistical Computing Version 1.9.0 Under development (unstable) (2004-03-04), ISBN 3-900051-00-3 R

I am doing a principle component analysis on a dataset with a lot of different variables and have constructed a biplot of the data. Unfortunately, as can be seen on the attached image, the biplot is very messy, cluttered, and hard to read. I have performed a few modifications including outlier removal from a few of the variables, which has made the plot better, however it still is too cluttered

Full_Name: Hinrich Göhlmann Version: 1.4.1 OS: Windows 2000 Submission from: (NULL) (148.177.130.121) Hi all, I've searched the known bugs and hopefully I did not oversee this one... When I have done a normal zz<-princomp(na.omit(raw.data)) and I then draw a biplot with biplot(zz,cex=c(.1,.7),col=c(5,1),choice=c(1,2),xlim=c(-2,2),ylim=c(-5,2)) the x axis gets set properly, but the y